AI コーディング

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Uh oh! There was an error while loading. Please reload this page. Notifications You must be signed in to change notification settings Fork 0 Star 1 BranchesTags Open more actions menu Latest commit History 29 Commits 29…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：AI coding bot vendors tell you to use a context file with instructions for the chatbot on how to edit your project. Claude Code wants a CLAUDE.md, or there’s AGENTS.md in general. [Anthropic] But does your AGENTS.md do…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Notifications You must be signed in to change notification settings Fork 0 Star 1 BranchesTags Open more actions menu Latest commit History 8 Commits 8 Commits Folders and files NameName Last commit message Last commit…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Notifications You must be signed in to change notification settings Fork 1 Star 8 BranchesTags Open more actions menu Latest commit History 79 Commits 79 Commits Folders and files NameName Last commit message Last commi…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Notifications You must be signed in to change notification settings Fork 0 Star 1 BranchesTags Open more actions menu Latest commit History 177 Commits 177 Commits Folders and files NameName Last commit message Last com…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：The product is the crane A long-horizon harness you run. Not a plugin pack inside someone else’s. Most things branded “harness engineering” are skills, agents, and slash commands that sit inside Claude Code or Copilot.…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：- YouTube AboutPressCopyrightContact usCreatorsAdvertiseDevelopersTermsPrivacyPolicy & SafetyHow YouTube worksTest new features

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：AI coding company Replit is throwing its weight behind the model-routing trend by making its “intelligent model routing” system the The post Replit’s new default: Auto mode picks the best model for each task appeared first on The New Stack.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：The Independent AI Coding Community AI Tools Search & browse all AI tools AI Jobs International roles · opportunities Creative Studio Image · Video · Training AI Models Curated models, explained AI Skills Handy prompts,…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Managing library updates can be tedious at times. Learn how the GitHub Copilot app can handle this type of repetitive task. The post GitHub Copilot app for Beginners: Automate Dependabot pull request triage appeared first on The GitHub Blog.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Everyone's using AI coding agents. Here's how to make yours actually useful.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Uh oh! There was an error while loading. Please reload this page. Notifications You must be signed in to change notification settings Fork 0 Star 1 BranchesTags Open more actions menu Latest commit History 8 Commits 8 C…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：arXiv:2608.23622v1 Announce Type: new Abstract: Large language models (LLMs) have shown strong capabilities in reasoning, planning, and tool use, but many scientific and engineering tasks require more than plausible text and code generation. They require understanding how a system responds to intervention, which in practice depends on controlled experimentation. In this work, we propose a multi-agent framework that enables LLM agents to conduct controlled experiments with scientific simulation models for pharmaceutical process design. Given a user query and a baseline configuration, the system constructs a structured task representation, designs experiments, executes comparative simulation, interprets the resulting outcomes, and synthesizes evidence-based recommendations for process parameter optimization. By coupling language models with high-fidelity simulation models in an interactive agent framework, the proposed system supports reasoning through intervention, comparison, and observation. As a result, it produces more specific and actionable outputs than language-only reasoning. In an industrial application setting, this advantage is reflected in higher output specificity as well as improved user-rated correctness and helpfulness. Ablation studies and visualized case analyses further demonstrate the effectiveness and practical utility of simulation-integrated experimental reasoning.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：TL;DR — Key Takeaways JetBrains has launched Junie Local, an on-device version of its AI coding agent that runs entirely on supported Macs without cloud inference or token charges. Junie Local uses a JetBrains-tuned, 4-…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：The AI-coding stack: a map for a landscape that won't sit still seed · Aug 17, 2026 Every week ships a new AI coding tool, and every announcement uses the same words: agent, context, autonomous, 10x. I’ve argued before…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Many developers have been changing their workflows to incorporate AI coding agents more heavily, thanks to powerful frontier large language models and increasingly sophisticated harnesses like Claude Code or Codex, but…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：There was a brief window where AI agent security felt like a future problem. Organizations deployed copilots, coding assistants, and autonomous workflows on the assumption that the worst case was a bad recommendation or a hallucinated answer. That window closed in the first half of 2026, when a cluster of vulnerabilities and a landmark incident […]

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Turn a feature into a demo video Describe a product or feature and Mirenta generates a looping, animated walkthrough — browser chrome, a moving cursor, clicks, and callouts included.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Code maintainability plummets in the AI coding era AI code is rotting codebases. July 07, 2026 You have 1 article left to read this month before you need to register a free LeadDev.com account. Estimated reading time: 4…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Posted at August 23, 2026 It was a summer holiday, sometime in the late 1990s. I was a young kid, around 8 or so. My dad had taught me the rules of chess before and we played from time to time. But this time was differe…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Notifications You must be signed in to change notification settings Fork 0 Star 0 BranchesTags Open more actions menu Latest commit History 17 Commits 17 Commits Folders and files NameName Last commit message Last commi…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：While most AI coding tools default to cloud-hosted models, local model runtimes have become a viable alternative for developers who The post Junie now runs entirely offline. Can you spare a 64 GB M5 Mac? appeared first on The New Stack.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：You can now code your own mini games and 'gizmos' with no experience. Creating is just half the fun.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：arXiv:2608.20349v1 Announce Type: new Abstract: Large Language Models (LLMs) exhibit extreme sensitivity to surface-level prompt variations, in which minor lexical changes can trigger disproportionate performance fluctuations. Moving beyond black-box optimization and coarse-grained templates, we present the first large-scale, n-gram token-level mechanistic analysis of prompt stability, leveraging a dataset of 132,000 prompt variants. Our investigation reveals a fundamental Scaling Law of Prompt Performance Stability: higher average task performance is strongly associated with lower variance and greater robustness across prompt perturbation. We identify two core linguistic drivers underlying this robustness: (1) Domain-Specific Terminology, which tightly anchors semantic boundaries, and (2) Explicit Action Directives, which formalize reasoning trajectories. Together, these elements constrain the model's interpretative space, effectively ``locking in'' more deterministic generation behavior. Building on these insights, we introduce an automated Prompt-Refining Agent that systematically restructures input queries by injecting domain anchoring and operational constraints. Empirical evaluation shows that our approach reduces performance variance by 40.7% in code generation task, while preserving or improving mean performance. These findings provide a statistically grounded and mechanistically interpretable framework for achieving robust prompt engineering.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：An anonymous provider has been handing out free access to a frontier-class coding model on OpenRouter Inc. since Aug. 20, and no company has admitted to building it. The model is listed as “Ox Alpha” and costs nothing for input or output tokens. OpenCode, an open-source terminal agent, debuted the model on the same day […] The post Nobody knows who built AI coding model Ox Alpha or where the code goes appeared first on SiliconANGLE.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：The active source of truth for AI coding agents Ensure every coding agent acts on your current decisions. MLA watches your coding sessions, captures decisions as work happens, detects stale or conflicting instructions,…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Notifications You must be signed in to change notification settings Fork 0 Star 4 BranchesTags Open more actions menu Latest commit History 3 Commits 3 Commits Folders and files NameName Last commit message Last commit…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：A Coddy Developer Survey revealed that AI coding is leading to a new kind of burnout.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Notifications You must be signed in to change notification settings Fork 0 Star 10 BranchesTags Open more actions menu Latest commit History 17 Commits 17 Commits Folders and files NameName Last commit message Last comm…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：The brain layer The brain behind every agent. One shared brain that Claude, ChatGPT, Cursor, and every AI can read and write. It structures what you know so agents read only what they need, and means you never explain y…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：A new Coddy Developer Survey found that four in five developers, 80%, say their use of AI has felt more like a dependence than an advantage.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Notifications You must be signed in to change notification settings Fork 1 Star 33 BranchesTags Open more actions menu Latest commit History 656 Commits 656 Commits Folders and files NameName Last commit message Last co…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Run Muse Glimmer locally on an RTX 3090 GPU using llama.cpp, DFlash speculative decoding, and Pi for fast, private, agentic AI coding.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Domain-Driven Design matters more when AI writes your code August 20, 2026 Miłosz Smółka Co-founder of Three Dots Labs. Creator of Watermill. Author of Go With The Domain. Whatever you think of AI coding, the way we bui…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Learn how AWS Professional Services uses a multi-agent framework built on Amazon Bedrock AgentCore to automate enterprise cloud migrations end to end. Purpose-built AI agents handle discovery, infrastructure as code generation, portfolio governance, and post-migration operations, reducing IaC development time from weeks to minutes.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：CritPath AI — Schedule Risk Management & CCPM Software for R&D LearnCompareSolutionsPricingArchitectureFAQAboutSign in SCHEDULE-RISK PLATFORM FOR R&D PROGRAMS Give your board a date you can defend. CritPath AI runs real…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Tools What you need to be a great vibe coder ListMap FeaturedVibe Costs · tracks what vibe coders spend on subscriptions, APIs and hostingVisit ↗ No.AppBuilderCategory 01 Claude Code Anthropic's agentic coding harness t…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：SWE-bench, Terminal-Bench, SlopCodeBench, ProgramBench, and more. Explore the top 10 open-source benchmarks for evaluating AI coding agents.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Slack is introducing dedicated channels where teams can vibe code together with AI agents instead of jumping between different tools and conversations. The Slack Code launch includes open, project-specific code channels with dedicated user tabs, alongside features that compare coding changes and preview HTML output before the project is shipped. "With Slack Code, when you have an idea or need to build a new feature, update a web page, or fix a bug, you simply tag in a coding agent like Anthropic's Claude or Cognition's Devin, and that agent then spins up a code channel to tackle the task," Slack said in its press release. "There, everyone … Read the full story at The Verge.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Your code never leaves Europe 20% faster inference, with no accuracy tradeoff Compliant, verified, and secure, down to the GPU Cut AI coding spend up to 10x No operational control Inference location, security, and under…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：JetBrains Research Research is crucial for progress and innovation, which is why at JetBrains we are passionate about both scientific and market research About JetBrains Research Agentic AI AI AI Coding Agents: Adoption…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：If you’re juggling multiple Copilot sessions, use the My work pane to track what's in flight, what's done, and what's next. The post GitHub Copilot app for Beginners: Managing your work appeared first on The GitHub Blog.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Uh oh! There was an error while loading. Please reload this page. Notifications You must be signed in to change notification settings Fork 0 Star 4 BranchesTags Open more actions menu Latest commit History 18 Commits 18…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：karavox · devlog I treat my AI coding agents as subcontractors 2026-08-14 · how I run software development Intro Since 2026 I started to develop software with AI agents, mostly for work. I started with one agent, then s…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Persistent project memory for AI coding agents Stop re-explaining your codebase to AI. Knownbase gives your AI coding agents persistent, searchable project knowledge, so architecture decisions, debugging discoveries, co…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Notifications You must be signed in to change notification settings Fork 0 Star 3 BranchesTags Open more actions menu Latest commit History 22 Commits 22 Commits Folders and files NameName Last commit message Last commi…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Hi HN, I've been working on Superprez.io because of something that started bothering me more and more with AI-generated presentations. Any AI like Claude, Cursor and ChatGPT can now generate surprisingly good decks — no…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：arXiv:2608.16890v1 Announce Type: new Abstract: Clinical trial programming -- transforming study protocols into analysis-ready datasets under CDISC standards -- is a bottleneck in regulatory submissions, yet LLM-based code generation fails catastrophically on this task: across 11 single-shot attempts with five frontier models, none produces a valid subject-level analysis dataset. We introduce GxP-Agent, a multi-agent system that encodes regulatory process ordering as a directed acyclic graph (DAG), decomposing monolithic dataset generation into 15 domain-specific nodes executed by worker agents with pharmaverse skill context, validation gates, and conditional retry. On CDISC-Bench, a new execution-based benchmark built from the FDA pilot submission CDISCPilot01 (254 subjects, 49 ground-truth ADSL variables), GxP-Agent with Claude Sonnet 4.6 achieves 100% structural match (49/49 variables, 254 correct records) across three independent runs, compared to 59.2% for the best retrieval-augmented baseline and 0% for all single-agent and flat multi-agent approaches. The DAG topology also enables weaker models: GPT-4.1 achieves 59.2% mean structural match under the same DAG, where it scores 0% under every other architecture. The approach generalizes to ADAE (adverse events; 9-node branching DAG, 55 variables, 1,191 records), achieving 100% structural match on the first attempt. These results demonstrate that encoding domain process knowledge as graph topology -- rather than relying on LLM reasoning alone -- is a key enabler for reliable, GxP-compliant clinical trial programming.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Cursor has officially thrown its hat into the code-hosting ring with Origin, a Git-compatible platform built for a world where The post “If GitHub was stable, these alternatives would not be as interesting”: Cursor launches Origin as GitHub goes dark appeared first on The New Stack.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Every long agent session ends the same way: the model announces it's done. Sometimes that's true. Sometimes "done" means three of the five files got edited, the test run it "confirmed" happened four thousand tokens ago…